



'''simple docstring'''



from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands
def        UpperCAmelCase (    ):
							SCREAMING_SNAKE_CASE       :   Any         =      ArgumentParser('''Transformers CLI tool'''       ,		usage='''transformers-cli <command> [<args>]'''					)
							SCREAMING_SNAKE_CASE       :   int         =      parser.add_subparsers(help='''transformers-cli command helpers'''					)

							# Register commands
							ConvertCommand.register_subcommand(A					)
							DownloadCommand.register_subcommand(A					)
							EnvironmentCommand.register_subcommand(A					)
							RunCommand.register_subcommand(A					)
							ServeCommand.register_subcommand(A					)
							UserCommands.register_subcommand(A					)
							AddNewModelCommand.register_subcommand(A					)
							AddNewModelLikeCommand.register_subcommand(A					)
							LfsCommands.register_subcommand(A					)
							PTtoTFCommand.register_subcommand(A					)

							# Let's go
							SCREAMING_SNAKE_CASE       :   Optional[int]         =      parser.parse_args()

							if not hasattr(A       ,		'''func'''					):
														parser.print_help()
														exit(1					)

							# Run
							SCREAMING_SNAKE_CASE       :   int         =      args.func(A					)
							service.run()


if __name__ == "__main__":
							main()









'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowerCAmelCase_  :							Dict             =    {
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_  :							List[Any]             =    [
							    'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'EncodecModel',
							    'EncodecPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_encodec import (
							    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    EncodecConfig,
							)
							from .feature_extraction_encodec import EncodecFeatureExtractor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_encodec import (
														    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
														    EncodecModel,
														    EncodecPreTrainedModel,
														)

else:
							import sys

							lowerCAmelCase_  :							List[str]             =    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




